skip to main content
Idioma:

An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging

Andersson, Jesper L.R. ; Sotiropoulos, Stamatios N.

NeuroImage (Orlando, Fla.), 2016-01, Vol.125, p.1063-1078 [Periódico revisado por pares]

United States: Elsevier Inc

Texto completo disponível

Citações Citado por
  • Título:
    An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging
  • Autor: Andersson, Jesper L.R. ; Sotiropoulos, Stamatios N.
  • Assuntos: Algorithms ; Diffusion ; Diffusion Magnetic Resonance Imaging - methods ; Eddy current ; Estimates ; Humans ; Image Interpretation, Computer-Assisted - methods ; Movement ; Registration ; Scanners ; Similarity measures ; Susceptibility
  • É parte de: NeuroImage (Orlando, Fla.), 2016-01, Vol.125, p.1063-1078
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descrição: In this paper we describe a method for retrospective estimation and correction of eddy current (EC)-induced distortions and subject movement in diffusion imaging. In addition a susceptibility-induced field can be supplied and will be incorporated into the calculations in a way that accurately reflects that the two fields (susceptibility- and EC-induced) behave differently in the presence of subject movement. The method is based on registering the individual volumes to a model free prediction of what each volume should look like, thereby enabling its use on high b-value data where the contrast is vastly different in different volumes. In addition we show that the linear EC-model commonly used is insufficient for the data used in the present paper (high spatial and angular resolution data acquired with Stejskal–Tanner gradients on a 3T Siemens Verio, a 3T Siemens Connectome Skyra or a 7T Siemens Magnetome scanner) and that a higher order model performs significantly better. The method is already in extensive practical use and is used by four major projects (the WU-UMinn HCP, the MGH HCP, the UK Biobank and the Whitehall studies) to correct for distortions and subject movement. •We present a new method for correction of eddy current-induced distortions and subject movement in diffusion data.•It is based on alignment to predictions based on a Gaussian process•The results indicate that one can achieve reliable corrections even for high b-value data (b=7000).•A comparison to correlation ratio based registration (eddy_correct) indicates that the new method is vastly superior.
  • Editor: United States: Elsevier Inc
  • Idioma: Inglês
Links
Voltar para lista de resultados

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.